{"id":"W6929263955","doi":"10.48448/v9cf-ft96","title":"U-CREAT: Unsupervised Case Retrieval using Events extrAcTion","year":2022,"lang":"en","type":"other","venue":"Underline Science Inc.","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Relevance (law); Ranking (information retrieval); Task (project management); Benchmark (surveying); Baseline (sea); Domain (mathematical analysis); Pipeline (software); Document retrieval","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001881203,0.00167909,0.0008339321,0.01063603,0.001319293,0.002684426,0.003007564,0.001386519,0.01845091],"category_scores_gemma":[0.00907743,0.0005271997,0.001202896,0.004547117,0.0009099689,0.00425854,0.002973483,0.001077955,0.01224062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001283629,"about_ca_system_score_gemma":0.002492465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02390127,"about_ca_topic_score_gemma":0.03591613,"domain_scores_codex":[0.9975786,0.0004578509,0.0002936926,0.0007382912,0.0007202446,0.0002112582],"domain_scores_gemma":[0.9969733,0.000997949,0.0002629115,0.0009159168,0.0007053257,0.0001446276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003451165,0.0003905743,0.006422407,0.001503087,0.0001868546,0.001198886,0.0009140625,0.006459246,0.03024694,0.01383396,0.288154,0.6503448],"study_design_scores_gemma":[0.000366615,0.0003049173,0.02649524,0.0003927373,0.0002701709,0.004117905,0.002102092,0.2311364,0.1199349,0.02669564,0.5878503,0.0003330582],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07969964,0.003477701,0.5893421,0.001757841,0.0007975956,0.004089781,0.09602048,0.1490096,0.07580537],"genre_scores_gemma":[0.1440421,0.001044251,0.6145332,0.0005478765,0.0002567514,0.001101304,0.2140308,0.002780481,0.02166322],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02390127,"threshold_uncertainty_score":0.06172448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04288423784591271,"score_gpt":0.3545571221210988,"score_spread":0.3116728842751861,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}